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| 3. |  | SIQUEIRA, H. M. de.; ARAÚJO, J. B. S.; Fernandes, M. A.; PILON, L. C.; SILVA, M. V. da.; TESSARO, G. M. Aspectos fitotécnicos numa perspectiva de transição agroecológica dos agricultores da ACAOFI. In: CONGRESSO BRASILEIRO DE AGROECOLOGIA, 5., 2007, Guarapari. Agroecologia e territórios sustentáveis. Guarapari: ABA, 2007. 4 p. Republicado pelo Incaper como capítulo do livro PADOVAN, M. da P.; MOTTA NETO, J. A.; TEIXEIRA, A. F. R. (Org.). Pesquisa agroecológica capixaba. Vitória, ES: Incaper, 2008.| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 4. | | SILVA, M. V. da.; OLIVEIRA, E. C.; LIRIO,V. C.; MACETTE, H. A.; ALIXANDRE, R. D.; SOUZA, M. A. de; SALES, R. A. de; RIBEIRO, L. V. Influência da altitude e do sombreamento na produção de mudas callas no Espírito Santo. In: CONGRESSO CAPIXABA DE PESQUISA AGROPECUÁRIA, 1., Vitória, ES. Anais 2021 : congresso capixaba de pesquisa agropecuária [recurso eletrônico]. Vitória, ES: Incaper, 2021. color. PDF ; 25,4 MB. E-book, no formato PDF. (Incaper, Documentos, 289). Pedro Luís Pereira Teixeira de Carvalho, Carlos Henrique Rodrigues de Oliveira, José Aires Ventura, Marcos Vinicius Winckler Caldeira e Romário Gava Ferrão, editores. p. 261-265| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 5. | | CORREIA, A. de O.; SILVA, M. V. da.; CABANEZ, P. A.; ALVES, F. R.; COSTA, A. V.; QUEIROZ, V. T. de; XAVIER, A. da S.; COSTA, D. da C. O declínio da goiabeira : desafios e novas perspectivas para o manejo. In: SANTOS, C. A. dos (org.). Produção e manejo de culturas agrícolas de importância econômica [recurso eletrônico]. Maringá, PR, UNIEDUSUL, cap. 1, p. 1-17.| Biblioteca(s): Biblioteca Rui Tendinha. |
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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
19/08/2022 |
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Data da última atualização: |
19/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ZANÚNCIO JUNIOR, J. S.; COSTA, H.; DORZENONI, R. R.; GUARÇONI, R. G.; FORNAZIER, M. L.; SOSSAI, S. R.; BOTACIM, L. A.; RIVA-SOUZA, E. M.; FERRÃO, M. A. G.; MARTINS, D. dos S.; FAVARATO, L. F.; FORNAZIER, M. J. |
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Afiliação: |
José Salazar Zanuncio Junior, Incaper; Helcio Costa, Incaper; Raíza Rainha Dorzenoni, CONCAFE/FUNCAFE; Rogerio Carvalho Guarçoni, Incaper; Maurício Lorenção Fornazier, FAPES/IFES; Suiane Reinaldo Sossai, CONCAFE/FUNCAFE; Luciana Aparecida Botacim, CCAE-UFES; Elaine Manelli Riva-Souza, Incaper; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; David dos Santos Martins, Incaper; Luiz Fernando Favarato, Incaper; Mauricio José Fornazier, Incaper. |
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Título: |
Modeling the brown eye spot sampling in arabica coffee. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
International Journal of Advanced Engineering Research and Science v.9, n. 4, p. 226-231, apr., 2022. |
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DOI: |
https://dx.doi.org/10.22161/ijaers.94.26 |
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Idioma: |
Inglês |
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Conteúdo: |
Coffee production has a great socioeconomic importance for Brazil. It generates direct and indirect jobs, and foreign exchange, with Brazilian Arabica coffee production estimated between 42 - 46 million bags (60 kg) in 2020. It is the main agribusiness activity in the State of Espírito Santo, Brazil with expected production between 13 - 15 million bags, and around 30% of this production is Arabica coffee. Technologies are recommended to coffee growers to increase yield, and production of specialty coffees on sustainable properties. Among the principles of integrated management is the monitoring of pests and diseases to determine the level of pest control. The estimate of the number of leaves to be sampled in the monitoring becomes an important tool to increase the accuracy of the obtained information. This research was carried out aiming to determine the minimum number of leaves necessary to evaluate the infestation of brown eye spot (BES) of coffee in Arabica coffee (Coffea arabica L.) without affecting the accuracy of the collection method. It was observed that the estimate of the minimum number for sampling was 46 leaves for the characteristics of incidence, and severity of BES in Arabica coffee. The modeling applied in this study allows to conclude that it is possible to recommend an optimum number of Arabica coffee leaves for these edaphoclimatic conditions, and variety, and it can serve as a basis for monitoring in an integrated pest and disease management program in Arabica coffee. MenosCoffee production has a great socioeconomic importance for Brazil. It generates direct and indirect jobs, and foreign exchange, with Brazilian Arabica coffee production estimated between 42 - 46 million bags (60 kg) in 2020. It is the main agribusiness activity in the State of Espírito Santo, Brazil with expected production between 13 - 15 million bags, and around 30% of this production is Arabica coffee. Technologies are recommended to coffee growers to increase yield, and production of specialty coffees on sustainable properties. Among the principles of integrated management is the monitoring of pests and diseases to determine the level of pest control. The estimate of the number of leaves to be sampled in the monitoring becomes an important tool to increase the accuracy of the obtained information. This research was carried out aiming to determine the minimum number of leaves necessary to evaluate the infestation of brown eye spot (BES) of coffee in Arabica coffee (Coffea arabica L.) without affecting the accuracy of the collection method. It was observed that the estimate of the minimum number for sampling was 46 leaves for the characteristics of incidence, and severity of BES in Arabica coffee. The modeling applied in this study allows to conclude that it is possible to recommend an optimum number of Arabica coffee leaves for these edaphoclimatic conditions, and variety, and it can serve as a basis for monitoring in an integrated pest and disease management program in A... Mostrar Tudo |
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Thesagro: |
Cercospora; Coffea arabica var arabica; Disease surveillance; Mycosphaerella; Pest control; Peste. |
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Categoria do assunto: |
-- |
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URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/item/4214/1/Modeling-the-brown-eye-spot-sampling-arabica-zanunciojunior.pdf
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Marc: |
LEADER 02533naa a2200337 a 4500
001 1024207
005 2022-08-19
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://dx.doi.org/10.22161/ijaers.94.26$2DOI
100 1 $aZANÚNCIO JUNIOR, J. S.
245 $aModeling the brown eye spot sampling in arabica coffee.$h[electronic resource]
260 $c2022
520 $aCoffee production has a great socioeconomic importance for Brazil. It generates direct and indirect jobs, and foreign exchange, with Brazilian Arabica coffee production estimated between 42 - 46 million bags (60 kg) in 2020. It is the main agribusiness activity in the State of Espírito Santo, Brazil with expected production between 13 - 15 million bags, and around 30% of this production is Arabica coffee. Technologies are recommended to coffee growers to increase yield, and production of specialty coffees on sustainable properties. Among the principles of integrated management is the monitoring of pests and diseases to determine the level of pest control. The estimate of the number of leaves to be sampled in the monitoring becomes an important tool to increase the accuracy of the obtained information. This research was carried out aiming to determine the minimum number of leaves necessary to evaluate the infestation of brown eye spot (BES) of coffee in Arabica coffee (Coffea arabica L.) without affecting the accuracy of the collection method. It was observed that the estimate of the minimum number for sampling was 46 leaves for the characteristics of incidence, and severity of BES in Arabica coffee. The modeling applied in this study allows to conclude that it is possible to recommend an optimum number of Arabica coffee leaves for these edaphoclimatic conditions, and variety, and it can serve as a basis for monitoring in an integrated pest and disease management program in Arabica coffee.
650 $aCercospora
650 $aCoffea arabica var arabica
650 $aDisease surveillance
650 $aMycosphaerella
650 $aPest control
650 $aPeste
700 1 $aCOSTA, H.
700 1 $aDORZENONI, R. R.
700 1 $aGUARÇONI, R. G.
700 1 $aFORNAZIER, M. L.
700 1 $aSOSSAI, S. R.
700 1 $aBOTACIM, L. A.
700 1 $aRIVA-SOUZA, E. M.
700 1 $aFERRÃO, M. A. G.
700 1 $aMARTINS, D. dos S.
700 1 $aFAVARATO, L. F.
700 1 $aFORNAZIER, M. J.
773 $tInternational Journal of Advanced Engineering Research and Science$gv.9, n. 4, p. 226-231, apr., 2022.
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